I currently work in Paul Torrey's group at the University of Virgina (formerly at Florida).
What do I study?
I am a galaxy evolution theorist. I spend a lot of time in cosmological simulations.
Recently, I have been trying to understand the baryon cycle -- specifically by quantifying how
changes in stellar feedback models of simulations impact galaxies as a whole. I've been trying to understand
if there are obsverational diagnostics for the extent to which a galaxy's feedback is "bursty" or "gentle".
Download the full-resolution videos below!
This is an animation for a recent project I've been working on.
It shows the Mannucci et al. (2010) parameterization of the fundamental metallicity relation (FMR) across cosmic time in the Illustris TNG-100 simulation.
The left panel is the dispersion, or overall measure of scatter, about the relation on the right as a function of the free parameter alpha.
The minimum scatter relation is what we refer to as the "global" version of the FMR.
To learn more about the FMR check out my recent work: Paper IPaper II
Slides from a talk I gave at Mark Vogelsberger's group meeting during my visit to MIT
Slides from a talk I gave at Lisa Kewley's group meeting during my visit to the Center for Astrophysics in Boston
Slides from a talk I gave at Sara Ellison's monthly group meetings (virtually)
Slides from the UF Astro 2022 graduate research symposium
for which I was awarded the Million graduate student research symposium award for outstanding research presentation
Slides and video
from my UF master's project, for which I was awarded the Million scholarship for excellence in astronomy and astrophysics for outstanding master's thesis
Metallicity Gradients in Cosmological Simulations Depend Strongly on Feedback Model: Forecasts
for High-redshift JWST Observations
In Prep... more coming soon!
Work in progress!
Star-Formation, Metallicity, and Stellar Mass on kpc-scales in IllustrisTNG
In Prep... more coming soon!
This work is led by Alex Qi, a former graduate student at the University of Florida. I took over this project in September 2024 and finished the analysis + wrote the paper
Integral field unit (IFU) observations have extended our knowledge of galactic properties to kpc (or, sometimes, even smaller) patches of galaxies.
These scales are where the physics driving galaxy evolution (star formation, feedback, chemical enrichment, etc) take place.
Quantifying these spatially-resolved properties of galaxies, both observationally and theoretically, is therefore critical to our understanding of galaxy evolution.
To this end, we investigate spatially-resolved scaling relations within galaxies at z=0 in IllustrisTNG.
We examine both the resolved star-forming main sequence (rSFMS) and the resolved mass-metallicity relation (rMZR) using 1 kpc x 1 kpc maps of galaxies.
We find that the rSFMS in IllustrisTNG is well-described by a power-law with an index of 0.6, but has some dependence on the host galaxy's mass.
Conversely, the rMZR for IllustrisTNG can be described by a single-power-law at low surface density that flattens at high surface densities and is independent of host galaxy mass.
We find quantitative agreement in both the rSFMS and rMZR with recent IFU observational campaigns.
Furthermore, we argue that the nature of the rSFMS lies behind the Schmidt-Kennicutt (SK) law and local gas fraction relation, which are both independent of host galaxy properties.
Finally, we construct a localized leaky-box model to study the evolution of idealized spaxels and find that this model provides a good description of these resolved relations.
The degree of agreement, however, between idealized spaxels and simulated spaxels depends on the `net' outflow rate for the spaxel, and the observed scaling relations indicate a preference for a low net outflow rate.
Does the Fundamental Metallicity Relation Evolve with Redshift? II:
The Evolution in Normalisation of the Mass-Metallicity Relation
Submitted to MNRAS
The metal content of galaxies is a direct probe of the baryon cycle.
A hallmark example is the relationship between a galaxy's stellar mass, star formation rate (SFR), and gas-phase metallicity: the Fundamental Metallicity Relation (FMR).
While low-redshift (z lessthan 4) observational studies suggest that the FMR is redshift-invariant, recent JWST data indicate deviations from this model.
In this study, we utilize the FMR to predict the evolution of the normalisation of the mass-metallicity relation (MZR) using the cosmological simulations Illustris, IllustrisTNG, EAGLE, and SIMBA.
Our findings demonstrate that a z=0 calibrated FMR struggles to predict the evolution in the MZR of each simulation.
To quantify the divergence of the predictions, we introduce the concepts of a ''static'' FMR, where the role of the SFR in setting the normalization of the MZR does not change with redshift, and a ''dynamic'' FMR, where the role of SFR evolves over time.
We find static FMRs in Illustris and SIMBA and dynamic FMRs in IllustrisTNG and EAGLE.
We suggest that the differences between these models likely points to the subtle differences in the implementation of the baryon cycle.
Moreover, we echo recent JWST results at z>4 by finding significant offsets from the FMR in IllustrisTNG and EAGLE, suggesting that the observed FMR may be dynamic as well.
Overall, our findings imply that the current FMR framework neglects important variations in the baryon cycle through cosmic time.
Does the Fundamental Metallicty Relation Evolve with Redshift? I: The
Correlation Between Offsets from the Mass-Metallicity Relation and Star
Formation Rate
The scatter about the mass metallicity relation (MZR) has a correlation with the star formation rate (SFR) of galaxies.
The lack of evidence of evolution in correlated scatter at z>2.5 leads many to refer to the relationship between mass, metallicity, and SFR as the Fundamental Metallicity Relation (FMR).
Yet, recent high-redshift (z>3) JWST observations have challenged the fundamental (i.e., redshift-invariant) nature of the FMR.
In this work, we show that the cosmological simulations Illustris, IllustrisTNG, and EAGLE all predict MZRs that exhibit scatter with a secondary dependence on SFR up to z=8.
We introduce the concept of a "strong" FMR, where the strength of correlated scatter does not evolve with time, and a "weak" FMR, where there is some time evolution.
We find that each simulation analysed has a weak FMR -- there is non-negligible evolution in the strength of the correlation with SFR.
Furthermore, we show that the scatter is reduced an additional ~10-40% at z>3 when using a weak FMR, compared to assuming a strong FMR.
These results highlight the importance of avoiding coarse redshift binning when assessing the FMR.
Interplay of Stellar and Gas-Phase Metallicities: Unveiling Insights for Stellar Feedback Modeling with Illustris, IllustrisTNG, and EAGLE
Accepted to MNRAS 03/12/2024!
The metal content of galaxies provides a window into their formation in the full context of the cosmic baryon cycle.
In this study, we examine the relationship between stellar mass and stellar metallicity (MZ*R) in the hydrodynamic simulations Illustris, TNG, and EAGLE to understand the global properties of stellar metallicities within the feedback paradigm employed by these simulations.
Interestingly, we observe significant variations in the overall normalization and redshift evolution of the MZ*R across the three simulations.
However, all simulations consistently demonstrate a tertiary dependence on the specific star formation rate (sSFR) of galaxies.
This finding parallels the relationship seen in both simulations and observations between stellar mass, gas-phase metallicity, and some proxy of galaxy gas content (e.g., SFR, gas fraction, atomic gas mass).
Since we find this correlation exists in all three simulations, each employing a sub-grid treatment of the dense, star-forming interstellar medium (ISM) to simulate smooth stellar feedback, we interpret this result as a fairly general feature of simulations of this kind.
Furthermore, with a toy analytic model, we propose that the tertiary correlation in the stellar component is sensitive to the extent of the ``burstiness'' of feedback within galaxies.
Gas-phase metallicity break radii of star-forming galaxies in IllustrisTNG
We present radial gas-phase metallicity profiles, gradients, and break radii at redshift z = 0 - 3 from the TNG50-1 star-forming galaxy population.
These metallicity profiles are characterized by an emphasis on identifying the steep inner gradient and flat outer gradient.
From this, the break radius is defined as the region where the transition occurs.
We observe the break radius having a positive trend with mass that weakens with redshift.
When normalized by the stellar half-mass radius, the break radius has a weak relation with both mass and redshift.
To test if our results are dependent on the resolution or adopted physics of TNG50-1, the same analysis is performed in TNG50-2 and Illustris-1.
We find general agreement between each of the simulations in their qualitative trends; however, the adopted physics between TNG and Illustris differ and therefore the breaks, normalized by size, deviate by a factor of ~2.
In order to understand where the break comes from, we define two relevant time-scales: an enrichment time-scale and a radial gas mixing time-scale.
We find that the break radius occurs where the gas mixing time-scale is ~10 times as long as the enrichment time-scale in all three simulation runs, with some weak mass and redshift dependence.
Teaching
Institution
Course
Semester
University of Virginia
Astr 2120 - Introduction to Astrophysics
Fall 2024
Astr 1250 - Alien Worlds*
Summer 2024
Astr 4470 - Computational Astrophysics
Spring 2024
Astr 3880 - Planetary Astronomy
Spring 2024
Astr 1220 - Intro to Stars, Galaxies, and the Universe
Spring 2024
Astr 5110 - Astronomical Techniques
Fall 2023
University of Florida
Ast 1022 - Astronomy Labratory*
Spring 2023
Ast 1022 - Astronomy Labratory*
Spring 2022
Ast 1002 - Discovering the Universe
Fall 2021
University of Illinois**
Astr 330 - Extrterrestrial Life
Spring 2021
Astr 330 - Extraterrestrial Life
Winter 2020
Astr 100 - Introduction to Astronomy
Fall 2020
Astr 150 - Killer Skies: Astro-Disasters
Fall 2020
Course
Semester
Florida
Astronomy Labratory*
Spring 2023
Astronomy Labratory*
Spring 2022
Discovering the Universe
Fall 2021
Illinois**
Extrterrestrial Life
Spring 2021
Extraterrestrial Life
Winter 2020/2021
Introduction to Astronomy
Fall 2020
Killer Skies: Astro-Disasters
Fall 2020
*Primary instructor of course
**Undergraduate Grader
University of Florida Astronomy 1022 Lab Manual
Originally compiled in 1997 and sparsely been updated since, I translated the old version into LaTeX and implemented much needed content updates.
This manual is a required text for all students enrolled in the Astronomy 1022 lab course.
To this day, students (and instructors) are still benefitting from the revisions that I implemented.
ALEX Labs
In addition to the lab manual, I implemented new computer lab software into the curriculum.
These labs are inspired by the Contemporary Lab Experiences in Astronomy (CLEA) Labs created by Gettysburg College.
CLEA labs ceased operations around 2016.
The labs that I have programmed are You Can Weigh Jupiter (based on the CLEA lab of the same name), Astronomical Spectroscopy II (based on "The Flow Of Energy Out Of The Sun" by CLEA), and Measuring the Hubble Constant (based on the CLEA lab of the same name).
These labs are hosted here on my website. Click the button below to see them.
Kika Silva Pla Planetarium
What did I do at the Planetarium?
The planetarium hosts weekly events on Fridays and Saturdays.
The show topics range from educational to entertaining and all serve to get the public more interested in space and astronomy.
My favorite accomplishment during my time at the Planetarium was learning to perform "Florida Skies", an hour long show giving the public a tour of the night-time sky.
Music 360: Gustav Holst's The Planets - "Production Crew"
Dynamic Earth - "Closed Captions for KSP"
Center for Academic Resources in Engineering (CARE) at UIUC
During undergrad, I tutored for the College of Engineering.
I tutored a number of different courses ranging in disciplines.
During my junior year, I was appointed to the leadership team.
My work as a tutor had a significant, positive impact on my fellow students.
Three to four times a week for nearly 3 years, I would field many questions on a variety of different subjects (listed below).
I was recognized during my last semester as being honored with Tutor of the Year Honorable Mention at the University level.
Physics:
100 (Thinking About Physics)
211 (Introductory Mechanics)
212 (Introductory E&M)
213 (Introductory Thermodynamics)
214 (Introductory Quantum Mechanics)
225 (Relativity and Math Applications)
Mathematics:
115 (Preparation for Calculus)
220/221 (Calculus I)
231/231E (Calculus II)
241 (Calculus III)
285 (Differential Equations)
415 (Linear Algebra)
Computer Science:
101 (Introduction to Computing -- Python)
Exam Review Sessions
These events are office hours sytle: two hours in length where students can come and ask a small team of tutors any questions about their course in preparation for exams
During the summer before my senior year of undergrad, I aided in creating new worksheets for these sessions.
Data Analysis
I also looked at the traffic patterns of our walk-in tutoring center.
I assembled monthly and semesterly reports and presented to our entire team.
Undergraduate Research
Professor Bryan Dunne
My work with Professor Dunne was focused on beginning research methods.
Our group, made up of three undergraduate students, worked on an observation project on variable stars of the RR Lyrae variety.
One of the first modules had us get familiar with the photo-editing program Gimp. We chose a supernova at random, requested composite images, and stacked them together in Gimp.
Below is the result.
We were beginning a literature review when my involvment with the project ended.
Professor Yue Shen
My (very brief) work with Professor Shen was centered on SDSS DR16 looking at quasars.
My small part in this project was to translate an IDL script into Python.
The script filtered out this noise and give a much neater spectral emission line.